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⇱ GitHub Copilot: The AI Pair Programmer for Coding | Coursera


GitHub Copilot: The AI Pair Programmer for Coding

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GitHub Copilot: The AI Pair Programmer for Coding

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Gain insight into a topic and learn the fundamentals.
4.2

98 reviews

Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.2

98 reviews

Beginner level

Recommended experience

3 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Enhance coding efficiency by leveraging AI-driven tools to streamline development workflows and boost productivity.

  • Integrate AI seamlessly into your preferred coding environments, optimizing setup for faster, smarter coding.

  • Apply AI in real-world projects, using intelligent suggestions to tackle practical coding challenges effectively.

  • Master collaboration with AI, adopting best practices to refine inputs and ensure responsible, effective tool usage.

Details to know

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Assessments

4 assignments

Taught in English

There is 1 module in this course

GitHub Copilot course introduces the foundational AI concepts behind GitHub Copilot and explores how it enhances the software development process. The course focuses on how Copilot interprets context, generates code suggestions, and integrates with modern development environments, offering a deeper understanding of AI-assisted programming.

Throughout this course, you'll immerse yourself in the fascinating world of AI-driven code generation, mastering the key functionalities and exploring practical applications. By the end of this course, you will be equipped to: - Grasp the core concepts and functionalities of GitHub Copilot - Analyze the key features and capabilities of GitHub Copilot - Apply GitHub Copilot effectively in real-world coding scenarios This course is tailored for learners from diverse backgrounds, including Data Scientists, Software Developers, Tech Enthusiasts, and Professionals aiming to enhance their skills in Coding. Prior experience in coding is beneficial but not required. Embark on this transformative journey to master GitHub Copilot and revolutionize your coding efficiency with AI-driven tools. By the end of this course, you will have the skills and knowledge to proficiently apply GitHub Copilot in various coding scenarios, demonstrating a cutting-edge approach to software development.

This short course is specifically designed for individuals looking to enhance their coding capabilities using GitHub Copilot, the AI-powered coding assistant. Throughout the course, participants will dive into the dynamic world of AI-assisted programming, exploring the functionalities and applications of GitHub Copilot in various coding scenarios. The curriculum is meticulously crafted to cover key areas, including the basics of GitHub Copilot, its integration with coding environments, practical use-cases in software development, and best practices for effective collaboration with AI.

What's included

15 videos7 readings4 assignments3 discussion prompts

15 videosβ€’Total 65 minutes
  • Course Introductionβ€’2 minutes
  • Introduction to GitHub Copilotβ€’5 minutes
  • ChatGPT vs. GitHub Copilotβ€’5 minutes
  • Installation and Setupβ€’3 minutes
  • Installing GitHub Copilot - A Quick Overviewβ€’5 minutes
  • Exploring GitHub Copilotβ€’8 minutes
  • Code Interpretion and Generationβ€’5 minutes
  • Collaboration and Version Controlβ€’5 minutes
  • Advanced Features of GitHub Copilotβ€’6 minutes
  • Challenges and Limitationsβ€’3 minutes
  • Practical Applications of GitHub Copilotβ€’6 minutes
  • GitHub Copilot - Real Life Use Casesβ€’5 minutes
  • Trouble Shooting Tipsβ€’3 minutes
  • Recap and Summaryβ€’3 minutes
  • Course Summaryβ€’2 minutes
7 readingsβ€’Total 62 minutes
  • Course Overviewβ€’10 minutes
  • How to Use Discussion Forumsβ€’2 minutes
  • GitHub Copilot and Its Featuresβ€’10 minutes
  • GitHub Copilot in Debugging: Enhancing Error Resolutionβ€’10 minutes
  • Customizing GitHub Copilot: Tailoring AI to Your Coding Styleβ€’10 minutes
  • GitHub Copilot Suggestions: Navigating AI Assistanceβ€’10 minutes
  • GitHub Copilot Through Context-Aware Commentsβ€’10 minutes
4 assignmentsβ€’Total 42 minutes
  • End Course Knowledge Checkβ€’30 minutes
  • Knowledge Check: GitHub Copilot: Overview, Installation, and Setupβ€’4 minutes
  • Knowledge Check: GitHub Copilot: Enhancing Developer Productivityβ€’4 minutes
  • Knowledge Check: GitHub Copilot: Use Cases, Troubleshooting, and Recapβ€’4 minutes
3 discussion promptsβ€’Total 25 minutes
  • What are the fundamental concept of GitHub Copilot and how it leverages AI to assist in coding. Consider its impact on traditional coding methods and how it could change the role of a software developer.β€’10 minutes
  • How does GitHub Copilot integrate with existing version control systems like Git? β€’5 minutes
  • What challenges do developers face in understanding and effectively utilizing GitHub Copilot's suggestions? Consider the learning curve for new users and how it affects their coding process.β€’10 minutes

Instructor

Instructor ratings
3.7 (19 ratings)
Edureka
203 Coursesβ€’185,724 learners

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Showing 3 of 98

AW
Β·

Reviewed on Jan 29, 2026

The course was pretty good as an introduction, but could perhaps have done with more demonstrations of the functionality they were describing.

CJ
Β·

Reviewed on Dec 10, 2025

It is a great course to learn complete info about copilot.

MK
Β·

Reviewed on Feb 11, 2024

beautiful jsut liie infosec, vanderblit,scrimba and vmawre

Frequently asked questions

GitHub Copilot supports a wide range of programming languages including JavaScript, Python, TypeScript, Ruby, Go, and more. This broad language support makes it accessible to a diverse community of developers working in different technologies and platforms.

GitHub Copilot has both free and paid plans. The availability of free usage and limitations may vary based on GitHub's pricing and policy changes.

GitHub Copilot seamlessly integrates with popular IDEs such as Visual Studio Code, JetBrains, and others. This integration allows developers to access the tool directly within their preferred development environment, enhancing workflow and ease of use.

GitHub Copilot respects privacy and security by not sending code to external servers for completion. The tool operates locally and does not store any code snippets, ensuring that sensitive information remains confidential and secure.

GitHub Copilot requires an internet connection because it relies on cloud-based models for code suggestions.

Common Use Cases GitHub Copilot is beneficial for tasks such as prototyping, refactoring, and debugging code. It can also assist in writing documentation and generating test cases, saving time and effort for developers.

GitHub Copilot is trained on publicly available code, and contributions to the training data are implicitly made through the use of the tool. However, developers don't directly contribute to the training process.

GitHub Copilot is effective for a wide range of coding tasks, from routine coding tasks to more complex algorithm implementations. However, its suggestions may vary in accuracy, and developers need to use their judgment.

Privacy concerns have been raised due to the potential inclusion of sensitive or proprietary code in the training data. Developers should be mindful of the code they are working on and avoid sharing sensitive information inadvertently.

To maximize the benefits of GitHub Copilot, developers should use the tool as a complement to their coding skills rather than a replacement. It is essential to review and validate the suggestions provided by GitHub Copilot to ensure quality and accuracy in the code.

GitHub Copilot has the potential to significantly impact the software development landscape by streamlining coding workflows and empowering developers to tackle complex projects with greater efficiency. Its adoption is expected to grow as more developers recognize its value.

A separate GitHub Copilot subscription is required to fully engage with the course’s hands-on components. The course does not include a Copilot subscription, but you can use Copilot Free (with limited features) or sign up for Copilot Pro or Enterprise plans for full access.

Yes, the course is suitable for team leaders and engineering managers as It provided insights to evaluate its impact on team productivity and workflows in a professional setting.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,